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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 5895
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    numerical values representing aggregated totals or summaries in a document, particularly related to quantity or comparison

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Neuron Alignment
    Index
    Value
    % of L₁
    736
    +0.14
    0.5%
    630
    +0.13
    0.5%
    484
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    699
    +0.14
    0.01
    345
    +0.13
    0.01
    299
    +0.12
    0.01
    Negative Logits
    paced
    -0.98
    ',"
    -0.90
    ifiable
    -0.89
    wit
    -0.81
     restraint
    -0.80
    paces
    -0.79
    soDeliveryDate
    -0.79
    ledge
    -0.79
     rein
    -0.78
     constraint
    -0.78
    POSITIVE LOGITS
    RAW
    0.99
    ĵĺ
    0.98
     Casting
    0.95
     Carnage
    0.92
    ĺħ
    0.85
    omach
    0.85
    rawdownloadcloneembedreportprint
    0.83
    emort
    0.83
    »Ĵ
    0.81
     Wish
    0.81
    Activations Density 0.041%

    No Known Activations